The article discusses the transformative impact of generative artificial intelligence (GenAI) on forensic psychiatry and criminal justice, contrasting it with discriminative AI. Generative AI models, which can generate realistic data and analyze unstructured content, offer new opportunities in areas like training and education, while also presenting ethical and legal challenges. Discriminative AI, traditionally used in forensic psychiatry for risk assessment and diagnosis, is being challenged by the capabilities of generative AI. The paper explores the potential of generative AI in creating new applications, such as multimodal models for advanced behavioral analysis and data generation for personalized treatment planning. It also highlights the ethical concerns, including biases, lack of transparency, data privacy, and the risk of overreliance on AI. The article emphasizes the need for responsible use of generative AI, advocating for interdisciplinary collaboration and thorough evaluation before widespread adoption in critical domains. Key challenges include ensuring fairness, accountability, and the protection of individuals' rights in the use of AI in forensic psychiatry and criminal justice.The article discusses the transformative impact of generative artificial intelligence (GenAI) on forensic psychiatry and criminal justice, contrasting it with discriminative AI. Generative AI models, which can generate realistic data and analyze unstructured content, offer new opportunities in areas like training and education, while also presenting ethical and legal challenges. Discriminative AI, traditionally used in forensic psychiatry for risk assessment and diagnosis, is being challenged by the capabilities of generative AI. The paper explores the potential of generative AI in creating new applications, such as multimodal models for advanced behavioral analysis and data generation for personalized treatment planning. It also highlights the ethical concerns, including biases, lack of transparency, data privacy, and the risk of overreliance on AI. The article emphasizes the need for responsible use of generative AI, advocating for interdisciplinary collaboration and thorough evaluation before widespread adoption in critical domains. Key challenges include ensuring fairness, accountability, and the protection of individuals' rights in the use of AI in forensic psychiatry and criminal justice.